Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing

ArXi:2509.20349v2 Announce Type: replace Accurate time-series forecasting for complex physical systems is the backbone of modern industrial monitoring and control, yet deep learning models often lack the physical consistency required in regulated environments. To bridge this gap, we